Product Workload Finance Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Workload Finance Analyst (SaaS/Cloud): Develop and maintain financial models tracking revenue and cost drivers for accurate forecasting and workload contribution margins with an accent on revenue, COGS, and margin analysis. Focus on driving pricing strategy decisions, partnering with Product Managers and Sales for business cases, and leveraging AI for scalable insights and dashboards.
Location: US-WA-Bellevue (onsite)
Compensation Range: $110K - $143.8K
Company
Powering the agentic enterprise with AI-native tools in a fast-growing cloud data platform.
What you will do
- Develop and maintain financial models for revenue, cost drivers, forecasting, and real-time workload contribution margins.
- Analyze revenue, COGS, and margin trends to provide actionable recommendations influencing pricing, packaging, and go-to-market strategies.
- Own pricing strategy evolution by analyzing usage patterns, customer segments, and running experiments; partner with Product, Finance, and Sales to optimize monetization.
- Collaborate with Product Managers, Engineering, and Sales on business cases for new features and market opportunities using data-driven insights.
- Leverage SQL and AI features to uncover insights from complex data structures and automate reporting.
- Build scalable dashboards for Product and Finance leaders and optimize cloud spend to reduce COGS/OpEx.
Requirements
- 2–5 years experience in Finance, Investment Banking, Consulting, or Data Analytics; SaaS, Cloud, Data, or Fintech preferred.
- Strong financial and analytical skills to build models, analyze data, and juggle priorities.
- Technical agility with SQL (preferred) and complex data structures; coding experience a plus.
- Experience in revenue, COGS, and margin analysis; familiarity with Salesforce or GTM systems.
- Ownership mindset to navigate ambiguity, anticipate steps, and drive projects.
- Exceptional communication to present complex data to VP/C-level; Bachelor’s in Finance, Data Science, Computer Science, or related.
Culture & Benefits
- Thrive in dynamic, fast-moving environment with experimental mindset and low-ego collaboration.
- Work with executives on high-visibility projects redefining work with AI.
- Focus on innovation, continuous improvement, and scaling business growth.
- US benefits detailed on Careers site.
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